Invention Grant
- Patent Title: Indirectly accessing sample data to perform multi-convolution operations in a parallel processing system
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Application No.: US14951588Application Date: 2015-11-25
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Publication No.: US10255547B2Publication Date: 2019-04-09
- Inventor: John Clifton Woolley, Jr. , John Tran
- Applicant: NVIDIA CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA CORPORATION
- Current Assignee: NVIDIA CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Artegis Law Group, LLP
- Main IPC: G06F12/02
- IPC: G06F12/02 ; G06N3/04 ; G06K9/00 ; G06K9/22 ; G06K9/46

Abstract:
In one embodiment of the present invention, a convolution engine configures a parallel processing pipeline to perform multi-convolution operations. More specifically, the convolution engine configures the parallel processing pipeline to independently generate and process individual image tiles. In operation, for each image tile, the pipeline calculates source locations included in an input image batch based on one or more start addresses and one or more offsets. Subsequently, the pipeline copies data from the source locations to the image tile. The pipeline then performs matrix multiplication operations between the image tile and a filter tile to generate a contribution of the image tile to an output matrix. To optimize the amount of memory used, the pipeline creates each image tile in shared memory as needed. Further, to optimize the throughput of the matrix multiplication operations, the values of the offsets are precomputed by a convolution preprocessor.
Public/Granted literature
- US20160162402A1 INDIRECTLY ACCESSING SAMPLE DATA TO PERFORM MULTI-CONVOLUTION OPERATIONS IN A PARALLEL PROCESSING SYSTEM Public/Granted day:2016-06-09
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